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trước đây tôi đã sử dụng OpenCV 2.4.5 với một số configs nhất định và các gói trên Ubuntu 12.04.1 nhưng có vấn đề nâng cấp lên OpenCV 2.4.6.1 trên Ubuntu 12.04.2Setting/Cài đặt lên OpenCV 2.4.6.1+ trên Ubuntu 12.04.02
tôi muốn chia sẻ một số ý tưởng (một bộ sưu tập thông tin đáng chú ý thu thập từ nhiều nguồn khác nhau bao gồm SO, ubuntu.org, asklinux.org và nhiều người khác, và tất nhiên bằng cách cố gắng nhiều thủ tục)
Dưới đây là những gì cuối cùng đã cho tôi thông qua.
LƯU Ý: đảm bảo bạn gỡ bỏ cài đặt bất kỳ cài đặt trước của OpenCV, FFMpeg và phụ thuộc khác được cài đặt trước đó.
BƯỚC 1 (cài đặt ffmpeg và phụ thuộc)
# goto http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/
# download the latest stable opencv such as 2.4.6.1 (http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.5/opencv-2.4.5.1.tar.gz/download) to current directory (such as home or ~/Document)
# cd /opt
# tar -xvf <path-to-download-folder>/OpenCV-2.4.6.1.tar.gz
# cd OpenCV-2.4.6.1
# create a foler under current dir (following previous step, this should be <opencv-dir>), called prepare
# cd prepare
# Copy the following script to gedit and save as install.sh to current dir, this should be <opencv-dir>/prepare
# Check corresponding url used in the script for latest versions of the package and replace as required
# Open terminal and navigate to location used above
# sudo chmod +x install.sh
# ./install
echo "Removing any pre-installed ffmpeg, x264, and other dependencies (not all the previously installed dependecies)"
sudo apt-get remove ffmpeg x264 libx264-dev libvpx-dev librtmp0 librtmp-dev libopencv-dev
sudo apt-get update
arch=$(uname -m)
if [ "$arch" == "i686" -o "$arch" == "i386" -o "$arch" == "i486" -o "$arch" == "i586" ]; then
flag=0
else
flag=1
fi
echo "Installing Dependenices"
sudo apt-get install autoconf automake make g++ curl cmake bzip2 python unzip \
build-essential checkinstall git git-core libass-dev libgpac-dev \
libsdl1.2-dev libtheora-dev libtool libva-dev libvdpau-dev libvorbis-dev libx11-dev \
libxext-dev libxfixes-dev pkg-config texi2html zlib1g-dev
echo "downloading yasm (assembler used by x264 and FFmpeg)"
# use git or tarball (not both)
wget http://www.tortall.net/projects/yasm/releases/yasm-1.2.0.tar.gz
tar xzvf yasm-1.2.0.tar.gz
cd yasm-1.2.0
echo "installing yasm"
./configure
make
sudo make install
cd ..
echo 'READ NOTE BELOW which was extracted from http://wiki.serviio.org/doku.php?id=build_ffmpeg_linux'
echo 'New version of x264 contains by default support of OpenCL. If not installed or without sense (example Ubuntu 12.04LTS on VMWare) add to configure additional option --disable-opencl. Without this option ffmpeg could not be configured (ERROR: libx264 not found).'
echo "downloading x264 (H.264 video encoder)"
# use git or tarball (not both)
# git clone http://repo.or.cz/r/x264.git or
git clone git://git.videolan.org/x264.git
cd x264
# wget ftp://ftp.videolan.org/pub/videolan/x264/snapshots/x264-snapshot-20130801-2245-stable.tar.bz2
# tar -xvjf x264-snapshot-20130801-2245-stable.tar.bz2
# cd x264-snapshot-20130801-2245-stable/
echo "Installing x264"
if [ $flag -eq 0 ]; then
./configure --enable-static --disable-opencl
else
./configure --enable-shared --enable-pic --disable-opencl
fi
make
sudo make install
cd ..
echo "downloading fdk-aac (AAC audio encoder)"
# use git or tarball (not both)
git clone --depth 1 git://github.com/mstorsjo/fdk-aac.git
cd fdk-aac
echo "installing fdk-aac"
autoreconf -fiv
./configure --disable-shared
make
sudo make install
cd ..
echo "installing libmp3lame-dev (MP3 audio encoder.)"
sudo apt-get install libmp3lame-dev
echo "downloading libopus (Opus audio decoder and encoder.)"
wget http://downloads.xiph.org/releases/opus/opus-1.0.3.tar.gz
tar xzvf opus-1.0.3.tar.gz
cd opus-1.0.3
echo "installing libopus"
./configure --disable-shared
make
sudo make install
cd ..
echo "downloading libvpx VP8/VP9 video encoder and decoder)"
# use git or tarball (not both)
git clone --depth 1 http://git.chromium.org/webm/libvpx.git
cd libvpx
# wget http://webm.googlecode.com/files/libvpx-v1.1.0.tar.bz2 (this seems not to be update, but can still be used if the fedoraproject link below is not available))
# wget http://pkgs.fedoraproject.org/repo/pkgs/libvpx/libvpx-v1.2.0.tar.bz2/400d7c940c5f9d394893d42ae5f463e6/libvpx-v1.2.0.tar.bz2
# tar xvjf libvpx-v1.2.0.tar.bz2
# cd libvpx-v1.2.0
echo "installing libvpx"
./configure --disable-examples
make
sudo make install
cd ..
sudo ldconfig
echo "downloading ffmpeg"
# git clone http://repo.or.cz/r/ffmpeg.git
git clone git://source.ffmpeg.org/ffmpeg.git
cd ffmpeg/
# wget http://ffmpeg.org/releases/ffmpeg-2.0.tar.bz2
# tar -xvjf ffmpeg-2.0.tar.bz2
# cd ffmpeg-2.0/
echo "installing ffmpeg"
if [ $flag -eq 0 ]; then
./configure --enable-gpl --enable-libass --enable-libfdk-aac --enable-libopus --enable-libfaac --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libtheora --enable-libvorbis --enable-libx264 --enable-libxvid --enable-nonfree --enable-postproc --enable-version3 --enable-x11grab --enable-libvpx
else
./configure --enable-gpl --enable-libass --enable-libfdk-aac --enable-libopus --enable-libfaac --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libtheora --enable-libvorbis --enable-libx264 --enable-libxvid --enable-nonfree --enable-postproc --enable-version3 --enable-x11grab --enable-libvpx --enable-shared
fi
make
sudo make install
hash -r
cd .. # move up one level to prepare folder
cd .. # move up one level to opencv folder
echo "Checking to see if you're using your new ffmpeg"
ffmpeg 2>&1 | head -n1
sudo ldconfig
BƯỚC 2 (Cài đặt OpenCV và các gói cần thiết)
echo "Installing Dependenices"
sudo apt-get install libtiff4-dev libjpeg-dev libjasper-dev
echo "installing Video I/O libraries, support for Firewire video cameras and video streaming libraries"
sudo apt-get install libav-tools libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev libxine-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev v4l-utils v4l-conf
echo "installing the Python development environment and the Python Numerical library"
sudo apt-get install python-dev python-numpy
echo "installing the parallel code processing library (the Intel tbb library)"
sudo apt-get install libtbb-dev
echo "installing the Qt dev library"
sudo apt-get install libqt4-dev libgtk2.0-dev
echo "installing other dependencies (if need be it would upgrade current version of the packages)"
sudo apt-get install patch subversion ruby librtmp0 librtmp-dev libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libvpx-dev libxvidcore-dev
echo installing optional packages"
sudo apt-get install libdc1394-utils libdc1394-22-dev libdc1394-22 libjpeg-dev libpng-dev libtiff-dev libjasper-dev
BƯỚC 3 (chạy ldconfig)
# Open a new terminal window
# Open /etc/ld.so.conf and check,
# if the paths "/usr/lib" and "/usr/local/lib" including the quote exist in the file. If not, add them manually or by
sudo echo "/usr/local/lib" >> /etc/ld.so.conf
sudo echo "/usr/lib" >> /etc/ld.so.conf
# execute the following
sudo ldconfig
BƯỚC 4a (Xây dựng & Cài đặt cho hệ điều hành Cách sử dụng)
# still ensure you haven't close the new terminal window open in STEP 3
# execute the following
mkdir os_build
cd os_build
cmake -DCMAKE_BUILD_TYPE=RELEASE -DCMAKE_INSTALL_PREFIX=/usr/local -DBUILD_NEW_PYTHON_SUPPORT=ON -DINSTALL_PYTHON_EXAMPLES=ON -DWITH_TBB=ON -DWITH_V4L=ON -DINSTALL_C_EXAMPLES=ON -DBUILD_EXAMPLES=ON -DWITH_QT=ON -DWITH_OPENGL=ON -DWITH_OPENCL=ON -DWITH_EIGEN=ON -DWITH_OPENEXR=ON ..
make
sudo make install
# add the following to user environment variable ~/.bashrc
export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib
export PKG_CONFIG_PATH=${PKG_CONFIG_PATH}:/usr/local/lib/pkgconfig
# execute the following
sudo ldconfig
# start to use and enjoy opencv, it should have been install into any of these locations
# /usr/local/include/opencv2, /usr/local/include/opencv, /usr/include/opencv, /usr/include/opencv2, /usr/local/share/opencv
# /usr/local/share/OpenCV, /usr/share/opencv, /usr/share/OpenCV, /usr/local/bin/opencv*, /usr/local/lib/libopencv*
BƯỚC 4b (Xây dựng cho Java Cách sử dụng): OPTIONAL
# still ensure you haven't close the new terminal window open in STEP 4
# execute the following
cd ..
mkdir java_build
cd java_build
cmake -DCMAKE_BUILD_TYPE=RELEASE -DBUILD_SHARED_LIBS=OFF -DINSTALL_PYTHON_EXAMPLES=ON -DWITH_TBB=ON -DWITH_V4L=ON -DINSTALL_C_EXAMPLES=ON -DBUILD_EXAMPLES=ON -DWITH_QT=ON -DWITH_OPENGL=ON -DWITH_OPENCL=ON -DWITH_EIGEN=ON -DWITH_OPENEXR=ON ..
make
# You can check the "java_build/bin" directory to locate the jar and libopencv_java.so file for your development
# As stated in the docs, the Java bindings dynamic library is all-sufficient, i.e. doesn’t depend on other OpenCV libs, but includes all the OpenCV code inside
BƯỚC 5 (cài đặt V4L: Lưu ý: cài đặt V4L -utils sau khi cài đặt opencv hoạt động cho Ubuntu 12.04.2 & OpenCV 2.4.6.1)
# still ensure you haven't close the new terminal window open in STEP 3
# goto http://www.linuxtv.org/downloads/v4l-utils
# download the latest v4l such as v4l-utils-0.9.5.tar.bz2
# copy the downloaded file to the current terminal dir (following previous step, this should be <opencv-dir>/prepare)
# execute the following
tar -xvjf v4l-utils-0.9.5.tar.bz2
cd v4l-utils-0.9.5/
./configure
make
sudo make install
cd ..
cd .. # (to go to <opencv-dir>)
sudo ldconfig
Worth Ghi nhận
# To check the path where opencv & other lib files are stored, do:
pkg-config --cflags opencv
(output will come as)
-I/usr/include/opencv
pkg-config --libs opencv
(output will come as)
-lopencv_core -lopencv_imgproc -lopencv_highgui -lopencv_ --ml -lopencv_video -lopencv_features2d -lopencv_calib3d -lopencv_objdetect -lopencv_contrib -lopencv_legacy -lopencv_flann
# The above paths are needed to compile your opencv programs, as given in the next illustration.
# write a simple C program to test, by saving below program in a file named DisplayImage.c
#include <stdio.h>
#include <opencv2/highgui/highgui.hpp>
int main(int argc, char *argv[]) {
IplImage* img=0; /* pointer to an image */
printf("Hello\n");
if(argv[1] != 0)
img = cvLoadImage(argv[1], 0); // 1 for color
else
printf("Enter filename\n");
if(img != 0) {
cvNamedWindow("Display", CV_WINDOW_AUTOSIZE); // create a window
cvShowImage("Display", img); // show image in window
cvWaitKey(0); // wait until user hits a key
cvDestroyWindow("Display");
}
else
printf("File not found\n");
return 0;
}
# write a simple C++ program to test, by saving below program in a file named DisplayImage.cpp
#include <stdio.h>
#include <opencv2/opencv.hpp>
#include <opencv2/highgui/highgui.hpp>
using namespace cv;
int main(int argc, char** argv)
{
Mat image;
image = imread(argv[1], 1);
if(argc != 2 || !image.data)
{
printf("No image data \n");
return -1;
}
namedWindow("Display Image", CV_WINDOW_AUTOSIZE);
imshow("Display Image", image);
waitKey(0);
return 0;
}
# To compile & run :
g++ <filename: e.g. DisplayImage.c or DisplayImage.cpp> `pkg-config --cflags --libs opencv` && ./a.out img
or
g++ -I/usr/include/opencv -I/usr/local/include -lopencv_core -lopencv_highgui -lopencv_ml -lopencv_imgproc -lopencv_video -lopencv_features2d -lopencv_calib3d -lopencv_objdetect -lopencv_contrib -lopencv_legacy -lopencv_flann -lopencv_nonfree <filename: e.g. DisplayImage.c or DisplayImage.cpp> && ./a.out img
where “img” is the name of any image with extension within the same folder .
You should be able to see “Hello” and the image in a different window.
If this runs, Congrats! now you can run any C/C++ program with opencv lib.
# Now lets simplify the above big command by making a shortcut for it:
go to your local home directory(cd /home/) and open the .bashrc file using gedit(the file will be hidden). Append the following to the file:
alias gcv="g++ -I/usr/include/opencv -I/usr/local/include -lopencv_core -lopencv_highgui -lopencv_ml -lopencv_imgproc -lopencv_video -lopencv_features2d -lopencv_calib3d -lopencv_objdetect -lopencv_contrib -lopencv_legacy -lopencv_flann -lopencv_nonfree"
and save. Close the terminal and open it again.(as this process requires relogin of the terminal)
# Now, go to directory containing a sample program & do
gcv <filename: e.g. DisplayImage.c or DisplayImage.cpp> && ./a.out
or
gcv <filename: e.g. DisplayImage.c or DisplayImage.cpp>
./a.out input_img.jpg
Như bạn có thể thấy các lệnh bây giờ trở thành tương tự như filename.c $ cc, $./A.out được sử dụng bình thường cho biên soạn và thực hiện/C++ chương trình C.
Một số cách để kiểm tra xem tất cả các file lib là installed-
apt-cache search opencv
lợi nhuận:
libcv-dev - Translation package for libcv-dev
libcv2.3 - computer vision library - libcv* translation package
libcvaux-dev - Translation package for libcvaux-dev
libcvaux2.3 - computer vision library - libcvaux translation package
libhighgui-dev - Translation package for libhighgui-dev
libhighgui2.3 - computer vision library - libhighgui translation package
libopencv-calib3d-dev - development files for libopencv-calib3d
libopencv-calib3d2.3 - computer vision Camera Calibration library
libopencv-contrib-dev - development files for libopencv-contrib
libopencv-contrib2.3 - computer vision contrib library
libopencv-core-dev - development files for libopencv-core
libopencv-core2.3 - computer vision core library
libopencv-dev - development files for opencv
libopencv-features2d-dev - development files for libopencv-features2d
libopencv-features2d2.3 - computer vision Feature Detection and Descriptor Extraction library
libopencv-flann-dev - development files for libopencv-flann
libopencv-flann2.3 - computer vision Clustering and Search in Multi-Dimensional spaces library
libopencv-gpu-dev - development files for libopencv-gpu
libopencv-gpu2.3 - computer vision GPU Processing library
libopencv-highgui-dev - development files for libopencv-highgui
libopencv-highgui2.3 - computer vision High-level GUI and Media I/O library
libopencv-imgproc-dev - development files for libopencv-imgproc
libopencv-imgproc2.3 - computer vision Image Processing library
libopencv-legacy-dev - development files for libopencv-legacy
libopencv-legacy2.3 - computer vision legacy library
libopencv-ml-dev - development files for libopencv-ml
libopencv-ml2.3 - computer vision Machine Learning library
libopencv-objdetect-dev - development files for libopencv-objdetect
libopencv-objdetect2.3 - computer vision Object Detection library
libopencv-video-dev - development files for libopencv-video
libopencv-video2.3 - computer vision Video analysis library
opencv-doc - OpenCV documentation and examples
python-opencv - Python bindings for the computer vision library